(1) Descriptive Models: Descriptive models look into customer’s history to often classify prospects into groups and categorize customers by preferences and life stage. Descriptive models can help you uncover reasons for success and failures in the past, ultimately helping you make informed decisions in the present.

(2) Predictive Models: Predictive model uses rules and algorithms to help predict a given outcome from specified units. The objective is to assess the likelihood whether a similar unit in a different sample will exhibit exactly same performance. Predictive models often perform calculations during live transactions to evaluate risk or opportunity in order to guide a decision.

(3) Decision Models:Decision models describe the relationship between all the elements of a decision to predict the results. This model drives set of business rules to produce preferred action for every customer or circumstance.

(1) Descriptive Models: Descriptive models look into customer’s history to often classify prospects into groups and categorize customers by preferences and life stage. Descriptive models can help you uncover reasons for success and failures in the past, ultimately helping you make informed decisions in the present.

(2) Predictive Models: Predictive model uses rules and algorithms to help predict a given outcome from specified units. The objective is to assess the likelihood whether a similar unit in a different sample will exhibit exactly same performance. Predictive models often perform calculations during live transactions to evaluate risk or opportunity in order to guide a decision.

(3) Decision Models: Decision models describe the relationship between all the elements of a decision to predict the results. This model drives set of business rules to produce preferred action for every customer or circumstance.

- Professor Emeritus of Political Science, Statistics, and Computer Science at Yale University Edward Tufte

The number of organizations working on data-driven projects increased by 125% in the past year. 44% of companies tackle big data “all the time.” 82% of executives call big data “important or mission critical.” How do we manage all this data? Interactive dashboards. This post has four sections (data, design, functionality,

We have entered a new era of scientific breakthroughs and technological applications that will change life as we know it. Accelerated technological development is transforming our civilization. The pace of innovation is growing so rapidly that it is becoming exponential as each year passes. Futurist Dr. Michio Kaku characterizes this blazing technological shift as moving from the “age of discovery” to the “age of mastery.”This next decade beckons many new technological discoveries and applicatio

Today's companies have the potential to benefit from incredibly large amounts of data. To shake off the mystery of this "Big Data," it's useful to know its history. In the not-so-distant past, firms tracked their own internal transactions and master data (products, customers, employees, and so forth) but little else.

Sharing your scoops to your social media accounts is a must to distribute your curated content. Not only will it drive traffic and leads through your content, but it will help show your expertise with your followers.

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Distributing your curated content through a newsletter is a great way to nurture and engage your email subscribers will developing your traffic and visibility.
Creating engaging newsletters with your curated content is really easy.